Output details
11 - Computer Science and Informatics
University of Greenwich
Predicting toxic gas concentrations at locations remote
from the fire source
The key impact of this research is the improvement in prediction accuracy of toxicity and hence life safety remote from the fire. The newly developed methodology is implemented within the SMARTFIRE CFD software enhancing its usability as an engineering tool. The ability to predict toxic species remote from the fire source enabled the authors to win the EU FP7 project AIRCRAFTFIRE (265612), in which SMARTFIRE is used to investigate the impact of fire on evacuation in aircraft. The technique is being enhanced to accommodate new composite materials found in the next generation of aircraft (contact Graham.greene@caa.co.uk at UK CAA).